Analog Spiking Neuron Model for Unsupervised STDP-based learning in Neuromorphic Circuits Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.29292/jics.v19i3.889
Neuromorphic computing has emerged as a promising solution to meet the computational demands of artificial intelligence and enhance the energy efficiency through spiking neural networks (SNNs). This paper models a previously published biomimetic electronic neuron (eNeuron), focusing on the effects of its random noise within an analog SNN framework. The analog SNN is trained via Spike-Timing-Dependent Plasticity (STDP) using unsupervised learning method. Its computational efficiency is evaluated against two benchmarks. Preliminary results have demonstrated that the analog SNN with either simplified or omitted random noise modeling perform better than those with full noise modeling. This highlights the significant impact that random noise of transistors in the eNeuron has on STDP learning processes. However, if random noise is neglected during the training phase, the reintroduction of noise modeling in the testing phase causes an average accuracy drop of only 0.2% for the simplified model of random noise and 4.5% for the full model.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.29292/jics.v19i3.889
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406235047
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406235047Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.29292/jics.v19i3.889Digital Object Identifier
- Title
-
Analog Spiking Neuron Model for Unsupervised STDP-based learning in Neuromorphic CircuitsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-23Full publication date if available
- Authors
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Yannaël Bossard, Zalfa Jouni, Siqi Wang, Pietro M. FerreiraList of authors in order
- Landing page
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https://doi.org/10.29292/jics.v19i3.889Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.29292/jics.v19i3.889Direct OA link when available
- Concepts
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Neuromorphic engineering, Spiking neural network, Computer science, Noise (video), Spike (software development), Artificial intelligence, Artificial neural network, Unsupervised learning, Machine learning, Electronic engineering, Engineering, Image (mathematics), Software engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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